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Van de makers van MagPi, het officiële Raspberry Pi-magazine Ga aan de slag met Raspberry Pi 5, de nieuwste en beste in de Raspberry Pi-microcomputerlijn; leer programmeren en creeren met deze fantastische computer. Daarnaast zijn er nog genoeg dingen die je kunt doen met Raspberry Pi 4, Raspberry Pi Zero 2 W en Raspberry Pi Pico W in dit handboek. Met de nieuwste recensies, tutorials, projectpresentaties, handleidingen en nog veel meer is dit je ultieme bron voor Raspberry Pi! 228 pagina’s Raspberry Pi Alles wat je moet weten over de Raspberry Pi 5 Snelle en praktische gids voor elke Raspberry Pi Beleef serieus plezier met elektronica en de Pico W Inspirerende projecten voor uw volgende bouwidee Leer μPython door een “handheld” te bouwen Aan de slag met de Raspberry Pi Camera-module Kunstmatige Intelligentie; bouw je eigen GPT Chatbot

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A Fast-Lane Ride From Concept to Project The core of the book explains the use of the Raspberry Pi Zero 2 W running the Python programming language, always in simple terms and backed by many tested and working example projects. On part of the reader, familiarity with the Python programming language and some experience with one of the Raspberry Pi computers will prove helpful. Although previous electronics experience is not required, some knowledge of basic electronics is beneficial, especially when venturing out to modify the projects for your own applications. Over 30 tested and working hardware-based projects are given in the book, covering the use of Wi-Fi, communication with smartphones and with a Raspberry Pi Pico W computer. Additionally, there are Bluetooth projects including elementary communication with smartphones and with the popular Arduino Uno. Both Wi-Fi and Bluetooth are key features of the Raspberry Pi Zero 2 W. Some of the topics covered in the book are: Raspberry Pi OS installation on an SD card Python program creation and execution on the Raspberry Pi Zero 2 W Software-only examples of Python running on the Raspberry Pi Zero 2 W Hardware-based projects including LCD and Sense HAT interfacing UDP and TCP Wi-Fi based projects for smartphone communication UDP-based project for Raspberry Pi Pico W communication Flask-based webserver project Cloud storage of captured temperature, humidity, and pressure data TFT projects Node-RED projects Interfacing to Alexa MQTT projects Bluetooth-based projects for smartphone and Arduino Uno communications

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. OBD2 Sensor DashboardOld Dials Sparked a Quest for Real Data OBD2: Add a Rev Counter and Gear Shift Indicator to Your CarRetro, but Super Useful LiDAR and Vision Sensors for Robotics Sensor+Test 2025 and PCIM 2025 Contact-Free E-Field Measurements (1)A Vibrating Membrane for Assessing DC Voltages or Static Electric Fields Wireless Mailbox NotifierFrom Optical Sensors to Radar, Exploring a Few Options Elektor Mini-WheelieA Self-Balancing Robot Solar CellsPeculiar Parts, the Series Getting Started With a Modern Radar SensorIs an Accurate Measurement on Your Radar? From Life’s ExperiencePaper Factory CybersecurityTough Times for Hackers Siglent Presents Next-Gen Multi-Channel OscilloscopesHigh-Performance Solutions for Modern Power and Embedded Systems Bluetooth 6.0 Brings Enhanced Distance-Ranging ApplicationsNew Version Offers Improved Device Positioning and Location Services Exploring Wireless Communication with BeagleY-AI Err-lectronicsCorrections, Updates, and Readers’ Letters Starting Out in Electronics……Concludes the Topic on Opamps A Powerful AI Code AssistantSpeed Up Your Development with Continue and Visual Studio Code Solar Charge Controller with MPPT (2)The Circuit Ultrasonic Obstacle DetectorA Simple Project to Help Those with Impaired Vision 2025: An AI OdysseyMid-Year Review Raspberry Pi Standalone MIDI Synthesizer (3)Making It Smarter and Adding a User Interface Meshtastic: A Demo ProjectAn Intelligent Mesh of LoRa Radios Analog Audio Frequency GeneratorHigh-Quality Adjustable Frequency Sine Wave Generator

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Diese Ausgabe steht allen GOLD- und GREEN-Mitgliedern auf der ElektorMagazine-Website zum Download bereit! Sie sind noch kein Mitglied? Hier klicken! CaptureCountEin Objektdetektor und -zähler auf dem Raspberry Pi 5 Spannungsreferenz mit Arduino Pro MiniLinearisieren und kalibrieren Sie analoge Eingänge FPGAs für EinsteigerDer Weg vom Mikrocontroller zur FPGA-Programmierung Update: STM32 Wireless Innovation Design Contest 2024 Bluetooth LE mit MAUISteuer-Apps für Android und Co. Breakout-Board für Port-ErweiterungMehr I/Os für Ihr Entwicklungssystem AI-SpezialistMachine Learning mit dem Jetson Nano 2024: Eine Odyssee in die KIErste Gehversuche mit TensorFlow 262.144 Wege, das Spiel des Lebens zu spielenEin Leserprojekt in Kürze Aus dem Leben gegriffenDer Chinesische Drache Bringen Sie Ihren DC-Bürstenmotor zum Laufen!Beispielprojekte aus dem Motor Control Development Bundle von Elektor ESP32-RS232-AdapterWireless-Anbindung klassischer Messgeräte Aller Anfang......muss nicht schwer sein: Mehr über Operationsverstärker Empfehlungen für ESP-Bibliotheken Piezoelektrische BauelementeBemerkenswerte Bauteile Ein intelligenter ObjektzählerBilderkennung leicht gemacht mit Edge Impulse Meistern Sie die kniffligsten Probleme Ihrer Embedded-Entwicklungen! ESP32-TerminalEin Handheld-Gerät mit Touch-Display Erste Schritte mit dem Zephyr RTOSSehr leistungsfähig, aber schwer zu beherrschen Preisgekrönte EthikEin Gespräch mit CTO Alexander Gerfer von Würth Elektronik eiSos über die Ermöglichung von Innovation und achtsames Verhalten Projekt 2.0Korrekturen, Updates und Leserbriefe

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When you experiment with the Raspberry Pi on a regular basis and you connect a variety of external hardware to the GPIO port via the header you may well have caused some damage in the past. The Elektor Raspberry Pi Buffer Board is there to prevent this! The board is compatible with Raspberry Pi Zero, Zero 2 (W), 3, 4, 5, 400 and 500. All 26 GPIOs are buffered with bi-directional voltage translators to protect the Raspberry Pi when experimenting with new circuits. The PCB is intended to be inserted in the back of Raspberry Pi 400/500. The connector to connect to the Raspberry Pi is a right angled 40-way receptacle (2x20). The PCB is only a fraction wider. A 40-way flat cable with appropriate 2x20 headers can be connected to the buffer output header to experiment for instance with a circuit on a breadboard or PCB. The circuit uses 4x TXS0108E ICs by Texas Instruments. The PCB can also be put upright on a Raspberry Pi. Downloads Schematics Layout

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All-in-One AI Learning and Development Platform for Edge Intelligence This NVIDIA Jetson-based AI Starter Kit is a versatile platform for learning, development, and hands-on experimentation in Edge AI. Designed for use with the NVIDIA Jetson Orin Nano, the kit combines an 11.6-inch IPS display, an 8-megapixel pan-tilt camera, and an AI voice interaction system. It includes 30 functional modules and 38 carefully designed Python courses that progress from beginner to advanced level. The course content covers Python fundamentals, sensor technology, AI vision, and image recognition. With step-by-step practical exercises ranging from basic programming to real-world computer vision applications, this kit provides an ideal platform for students, makers, developers, and anyone looking to explore artificial intelligence and edge computing. Please note: The NVIDIA Jetson Orin Nano is not included. Features Designed for the NVIDIA Jetson Orin Nano AI voice interaction module 8 MP camera with pan-tilt control Supports object and face tracking No soldering or complex wiring required Built-in 11.6-inch IPS display 30 functional modules 38 step-by-step Python lessons I²C, UART, and GPIO expansion interfaces Portable carrying case included Specifications Main Processor Jetson Orin Nano Number of Sensors 30 Sensor Board Design Integrated sensor board, no soldering or complex wiring required Screen 11.6-inch IPS Screen Screen Resolution 1366 x 768 Camera IMX219 8MP Expansion Interfaces 2x I²C, 1x UART, 1x IO D13, 1xIO D12 Programming Environment Based on Python Number of Tutorials 38 creative tutorials Target Audience Students, teachers, hardware enthusiasts Application Scenarios Ideal for learning AI programming, Jetson Orin Nano basics Dimensions 300 x 200 x 100 mm Module List Module Quantity Temperature & Humidity Sensor 1 pcs Button 4 pcs Ultrasonic Ranging Sensor 1 pcs Light Sensor 1 pcs Linear Potentiometer 1 pcs Buzzer 1 pcs LCD 1 pcs Infrared Remote 1 pcs Relay 1 pcs NFC 1 pcs PIR Motion Sensor 1 pcs Joystick 1 pcs 4-Digital Display 1 pcs LED 1 pcs Microphone 1 pcs Speaker 1 pair Vibration Motor 1 pcs Touch Sensor 1 pcs 8x8 RGB Matrix 1 pcs Atmospheric pressure sensor 1 pcs Tilt Switch 1 pcs Stepper Motor 1 pcs Accelerometer & Gyro 1 pcs Gas Sensor (MQ2) 1 pcs Hall Sensor 1 pcs Rotary Encoder 1 pcs U-shaped photoelectric switch 1 pcs NTC 1 pcs Servo 2 pcs Monocular camera 1 pcs Included 1x Elecrow AI Starter Kit for Jetson Orin Nano 1x IR Remote Control 1x NFC Card 1x 128 GB SD Card 1x 40-pin GPIO Cable 2x 22-pin FPC Cable 2x 24-pin FPC Cable 1x Jetson DP & USB Adapter Board Not included NVIDIA Jetson Orin Nano Downloads Manual Wiki OpenClaw Install and Config Guide

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Diese Ausgabe steht allen GOLD- und GREEN-Mitgliedern auf der ElektorMagazine-Website zum Download bereit! Sie sind noch kein Mitglied? Hier klicken! Der ESP-BLASTEine Mini-Raketendrohne mit ESP32, die über 100 km/h erreicht Wireless Workshop (1)Freigeschaltetes Funkmodul: 433-MHz-CC1101-Sub-GHz-Transceiver AM-Sendermit Rechteck-/Sinuswellengenerator auf Raspberry Pi Pico STM32Cube Innovations ChallengeTreten Sie mit Ihrem besten STM32C5-Design an CoffeeCallerWie ein langer Flur zu einer maßgefertigten Mesh-Netzwerk-Platine führte AudiotronicsKlirrfaktor Elektor ist 65Projekte aus früheren September/Oktober-Ausgaben Geräteortung durch Bluetooth Channel SoundingZentimetergenaue Entfernungsmessung im IoT der nächsten Generation 2026: Eine KI-OdysseeQuantencomputing ist nicht die nächste GPU Cloud-Schutz durch Edge-Sicherheit Erste Erfahrungen mit dem HackRF ProPraktische Tests mit der neuen SDR-Hardware Herausforderung ElektromobilitätEffiziente Lötlösungen für moderne Fahrzeugtechnik Modem-Update von GPRS/2G auf LTE/4Gam Beispiel einer Funk-Alarmzentrale Loop-Antenne mit RF BricksTeil 1: Kurzwellen-Antenne mit einstellbarer Richtwirkung im Selbstbau Internetradio-zu-AM-KonverterVerwendung eines ESP32-S3 als Sender Projekt 2.0 mioty – ein ÜberblickLPWAN à la Fraunhofer Werkbank-WeisheitPraktische Tipps von Experten Walter, das kompakte IoT-ModulTeil 2: Zugriff auf Wetter- und Datendienste

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This bundle gives you everything you need to get started right away with the XIAO ESP32-C3 development board. Learn the fundamentals of the ESP32-C3 and build practical projects with Wi-Fi, Bluetooth, sensors, displays, PWM, Deep Sleep, and much more. Book: Build Smart Projects with the XIAO ESP32-C3 Board The XIAO ESP32-C3 board combines the ultra-compact form factor of the XIAO series with the full capabilities of the ESP32-C3 chip, including integrated Wi-Fi and Bluetooth 5.0. This book is a comprehensive, hands-on guide to getting the most out of this powerful yet affordable development board. The author takes readers from the fundamentals to advanced projects. Starting with LED blinking and dimming, the book progresses to ADC and PWM for precise sensor interfacing and PWM-controlled lighting effects before moving on to building practical, real-world applications, including: A Wi-Fi weather station with an OLED display and real-time online weather data An ultrasonic parking assistant with audible feedback A refrigerator monitoring probe with climate sensing and Deep Sleep for years of battery operation A retro Pong game controlled by a touch-free sensor A microphone-based party app that responds to claps And much more: lighting control, reaction-time measurement, mains frequency analysis, soil moisture sensing, ambient LED lighting, and 7-segment displays Seeed Studio XIAO ESP32C3 Seeed Studio XIAO ESP32C3 has equipped a highly-integrated ESP32-C3 chip, built around a 32-bit RISC-V chip processor with a four-stage pipeline that operates at up to 160 MHz. The board equips highly-integrated ESP32-C3 SoC. The chip has been installed with a complete 2.4 GHz Wi-Fi subsystem which means it supports Station mode, SoftAP mode, SoftAP & Station mode, and promiscuous mode for multiple Wi-Fi applications. It works under an ultra-low power state, also supporting features of Bluetooth 5 and Bluetooth mesh. There are 400 KB SRAM & 4 MB Flash on the chip, allowing for more programming space, and bringing more possibilities to the IoT control scenarios. Applications Internet of Things Wearable devices Health monitoring Education Low-Power networking Rapid prototyping Specifications Processor ESP32-C3 SoC RISC-V single-core 32-bit chip processor with a four-stage pipeline that operates at up to 160 MHz Wireless Complete 2.4GHz Wi-Fi subsystem Bluetooth Low Energy 5.0/ Bluetooth Mesh On-chip Memory 400 KB SRAM & 4 MB Flash Interface 1x UART, 1x I²C, 1x SPI, 11x GPIO (PWM), 4x ADC 1x Reset button, 1x Boot button Power (Typ.) Max 3.3 V Output Current: 500 mA Test Condition: BAT Pin Input @ 3.8 V Source Capability: 3 A Charging current: 380 mA(Fast) / 40 mA(Trickle) Input voltage (VIN): 5 VInput voltage (BAT): 3.7 V Deep Sleep Power Consumption Deep Sleep Mode: 44 μA Wi-Fi Enabled Power Consumption Active Mode: 75 mA Modem-sleep Mode: 25 mA Light-sleep Mode: 4 mA BLE Enabled Power Consumption Modem-sleep Mode: 27 mA Light-sleep Mode: 10 mA Dimensions 21 x 17.8 mm Included 1x Seeed Studio XIAO ESP32C3 1x Antenna 2x 7-pin header Downloads Wiki Datasheet This bundle contains: Book: Build Smart Projects with the XIAO ESP32-C3 Board (normal price: €35) Board: Seeed Studio XIAO ESP32C3 (normal price: €10)

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3rd Edition – Fully updated for Raspberry Pi 4 The Raspberry Pi is a very cheap but complete computer system that allows all sorts of electronics parts and extensions to be connected. This book addresses one of the strongest aspects of the Raspberry Pi: the ability to combine hands-on electronics and programming. Combine hands-on electronics and programming After a short introduction to the Raspberry Pi you proceed with installing the required software. The SD card that can be purchased in conjunction with this book contains everything to get started with the Raspberry Pi. At the side of the (optional) Windows PC, software is used which is free for downloading. The book continues with a concise introduction to the Linux operating system, after which you start programming in Bash, Python 3 and Javascript. Although the emphasis is on Python, the coverage is brief and to the point in all cases – just enabling you to grasp the essence of all projects and start adapting them to your requirements. All set, you can carry on with fun projects. The book is ideal for self-study No fewer than 45 exciting and compelling projects are discussed and elaborated in detail. From a flashing lights to driving an electromotor; from processing and generating analog signals to a lux meter and a temperature control. We also move to more complex projects like a motor speed controller, a web server with CGI, client-server applications and Xwindows programs. Each project has details of the way it got designed that way The process of reading, building, and programming not only provides insight into the Raspberry Pi, Python, and the electronic parts used, but also enables you to modify or extend the projects any way you like. Also, feel free to combine several projects into a larger design.

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. Small Thermal Imaging CameraAn Arduino UNO-Based DIY Solution Project Update #3: ESP32-Based Energy MeterIntegration and Testing with Home Assistant 2024: An AI OdysseyEnhancing Object Detection: Integrating Refined Techniques Raspberry Pi Goes AINew Kit Incorporates M.2 HAT+ With AI Accelerator Weather Station SensorsWhich One Should You Choose? AI-Based Water Meter Reading (1)Get Your Old Meter Onto the IoT! A GSM AlarmHarnessing GSM Technology for Remote Garage Safety Low-Power Thread Devices Optimized and ScrutinizedLow Power … Low Effort? From Life’s ExperienceThe Gender Gap DIY Cloud ChamberMaking Invisible Radiation Visible SparkFun Thing Plus MatterA Versatile Matter-Based IoT Development Board IoT RetrofittingMaking RS-232 Devices Fit for Industry 4.0 Enabling IoT with 8-Bit MCUs Technology Drives SustainabilityAdvances Lead to More Efficient Use of Energy in Many Applications AWS for Arduino and Co. (1)Using AWS IoT ExpressLink in Real Life Airflow Detector Using Arduino OnlyNo External Sensors Needed! Water Leak DetectorConnected to Arduino Cloud CrystalsPeculiar Parts, the Series Universal Garden LoggerA Step Towards AI Gardening Analog 1 kHz GeneratorSine Waves with Low Distortion Miletus: Using Web Apps OfflineSystem and Device Access Included! From 4G to 5GIs It Such an Easy Step? Starting Out in Electronics……Balances Out

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Nahezu alle Menschen werden zunehmend mit den Anwendungen der „Künstlichen Intelligenz“ (KI oder AI für engl. Artificial Intelligence) konfrontiert. Musik- oder Videoempfehlungen, Navigationssysteme, Einkaufsvorschläge etc. basieren auf Verfahren, die diesem Bereich zugeordnet werden können. Der Begriff „Künstliche Intelligenz“ wurde 1956 auf einer internationalen Konferenz, dem Dartmouth Summer Research Project geprägt. Eine grundlegende Idee war dabei, die Funktionsweise des menschlichen Gehirns zu modellieren und darauf basierend fortschrittliche Computersysteme zu konstruieren. Bald sollte klar sein, wie der menschliche Verstand funktioniert. Die Übertragung auf eine Maschine wurde nur noch als ein kleiner Schritt angesehen. Diese Vorstellung erwies sich als etwas zu optimistisch. Dennoch sind die Fortschritte der modernen KI, beziehungsweise ihrem Teilgebiet dem sogenannten „Machine Learning“, nicht mehr zu übersehen. Um die Methoden des Machine Learnings näher kennenzulernen, sollen in diesem Buch mehrere verschiedene Systeme zum Einsatz kommen. Neben dem PC werden sowohl der Raspberry Pi als auch der „Maixduino“ in den einzelnen Projekten ihre Fähigkeiten beweisen. Zusätzlich zu Anwendungen wie Objekt- und Gesichtserkennung entstehen dabei auch praktisch einsetzbare Systeme wie etwa Flaschendetektoren, Personenzähler oder ein „Sprechendes Auge“. Letzteres ist in der Lage, automatisch erkannte Objekte oder Gesichter akustisch zu beschreiben. Befindet sich beispielsweise ein Fahrzeug im Sichtfeld der angeschlossenen Kamera, so wird die Information „I see a car!“ über elektronisch erzeugte Sprache ausgegeben. Derartige Geräte sind hochinteressante Beispiele dafür, wie etwa auch blinde oder stark sehbehinderte Menschen von KI-Systemen profitieren können.

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. CaptureCountAn Object Detector and Counter on the Raspberry Pi 5 Voltage Reference With Arduino Pro MiniLinearize and Calibrate Your Analog Inputs FPGAs for BeginnersThe Path From MCU to FPGA Programming Update: STM32 Wireless Innovation Design Contest 2024 Bluetooth LE With MAUIControl Apps for Android & Co. Port-Expanding Breakout BoardIncrease the Number of I/Os on Your Dev Board AI SpecialistMachine Learning with the Jetson Nano 2024: An AI OdysseyFirst Forays Into TensorFlow 262,144 Ways to Play The Game of LifeA Reader’s Project in Brief From Life’s ExperienceThe Chinese Dragon Get Your (Brushed DC) Motor Running!Sample Projects from the Elektor Motor Control Development Bundle ESP32-RS-232 AdapterA Wireless Link for Classic Test Equipment Starting Out in Electronics……More About Opamps ESP Library Recommendations Piezoelectric DevicesPeculiar Parts, the Series A Smart Object CounterImage Recognition Made Easy with Edge Impulse Resolve Your Trickiest Embedded Development Challenges ESP32 TerminalA Handheld Device with a Touch-Capable Display Getting Started With the Zephyr RTOSAs Powerful as It Is Hard to Master Award-Winning EthicsA Dialog with CTO Alexander Gerfer of Würth Elektronik eiSos on Enabling Innovation and Mindful Behavior Err-lectronicsCorrections, Updates, and Readers’ Letters Infographics: Embedded and AI Square Wave Generation BenchmarksExploring ESP32, Pico, and Other Microcontrollers

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